A review of irrigation information retrievals from space and their utility for users

C Massari, S Modanesi, J Dari, A Gruber… - Remote Sensing, 2021 - mdpi.com
Irrigation represents one of the most impactful human interventions in the terrestrial water
cycle. Knowing the distribution and extent of irrigated areas as well as the amount of water …

A survey of computer vision techniques for forest characterization and carbon monitoring tasks

S Illarionova, D Shadrin, P Tregubova, V Ignatiev… - Remote Sensing, 2022 - mdpi.com
Estimation of terrestrial carbon balance is one of the key tasks in the understanding and
prognosis of climate change impacts and the development of tools and policies according to …

Economic comparison of satellite, plane and UAV-acquired NDVI images for site-specific nitrogen application: Observations from Italy

M Sozzi, A Kayad, S Gobbo, A Cogato, L Sartori… - Agronomy, 2021 - mdpi.com
Defining the most profitable remote sensing platforms is a difficult decision-making process,
as it requires agronomic and economic considerations. In this paper, the price and …

OPTRAM-ET: A novel approach to remote sensing of actual evapotranspiration applied to Sentinel-2 and Landsat-8 observations

A Mokhtari, M Sadeghi, Y Afrasiabian, K Yu - Remote Sensing of …, 2023 - Elsevier
Satellite remote sensing technology provides a promising means for near real-time
monitoring of crop water status and requirements in agricultural and hydrological …

Data fusion in agriculture: Resolving ambiguities and closing data gaps

JGA Barbedo - Sensors, 2022 - mdpi.com
Acquiring useful data from agricultural areas has always been somewhat of a challenge, as
these are often expansive, remote, and vulnerable to weather events. Despite these …

A classification-based spatiotemporal adaptive fusion model for the evaluation of remotely sensed evapotranspiration in heterogeneous irrigated agricultural area

S Wang, C Wang, C Zhang, J Xue, P Wang… - Remote Sensing of …, 2022 - Elsevier
Remotely sensed evapotranspiration (ET) with high spatial and temporal resolution is
frequently required to understand the regional hydrological processes, particularly in …

Develo** machine learning models for wheat yield prediction using ground-based data, satellite-based actual evapotranspiration and vegetation indices

MN Jahromi, S Zand-Parsa, F Razzaghi… - European Journal of …, 2023 - Elsevier
Timely and accurate crop yield estimation is important for adjusting agronomic management
and enseuring agricultural sustainability. Machine learning (ML) algorithms provide new …

Actual evapotranspiration from UAV images: A multi-sensor data fusion approach

A Mokhtari, A Ahmadi, A Daccache, K Drechsler - Remote Sensing, 2021 - mdpi.com
Multispectral imaging using Unmanned Aerial Vehicles (UAVs) has changed the pace of
precision agriculture. Actual evapotranspiration (ETa) from the very high spatial resolution of …

[HTML][HTML] A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations

L Brocca, S Barbetta, S Camici, L Ciabatta, J Dari… - Frontiers in …, 2024 - frontiersin.org
Climate change is profoundly affecting the global water cycle, increasing the likelihood and
severity of extreme water-related events. Better decision-support systems are vital to …

Evapotranspiration acquired with remote sensing thermal-based algorithms: a state-of-the-art review

V García-Santos, JM Sánchez, J Cuxart - Remote Sensing, 2022 - mdpi.com
Almost fifty years have passed since the idea to retrieve a value for Evapotranspiration (ET)
using remote sensing techniques was first considered. Numerous ET models have been …